Extensive experiments on public face sketch datasets verify that the proposed two-stage method improves the sketch synthesis quality of the state-of-the-art exemplar-based methods in terms of both recognition accuracy and perceptual quality. In addition, the experiments on cross-dataset indicate that...
AI代码解释 [3] [A survey on deep learning-based precise boundary recovery of semantic segmentation for images and point clouds](https://www.sciencedirect.com/science/article/pii/S0303243421001185?via%3Dihub) 代码语言:txt AI代码解释 [4] [Features to Text: A Comprehensive Survey of Deep Learnin...
3d fully convolutional network for vehicle detection in point cloud 本文是将2D的全卷积网络FCN引入到3D点云中,从而实现3D目标检测。 方法介绍 A. FCN Based Detection Revisited 基于检测框架的FCN的流程可以被分为两个任务:目标预测和Bboxd的回归。如下图所示,FCN 由两个分别对应于两个任务的输出组成。目标预...
近期,湖南师范大学信息科学与工程学院的温翠红团队,在Meta-Radiology发表了一篇题为《MCFCN: Multi-scale Capsule-weighted Fusion Classification Network for Lung Disease Classification based on Chest CT Scans》的学术论文。该论文分析了现...
[3]A survey on deep learning-based precise boundary recovery of semantic segmentation for images and point clouds [4]Features to Text: A Comprehensive Survey of Deep Learning on Semantic Segmentation and Image Captioning [5]Deep multimodal fusion for semantic image segmentation: A ...
参考文献: [1]http://home.ustc.edu.cn/~liujunyan/blog/fcn/ [2]Nucleus image segmentation method based on GAN and FCN model [3]https://blog.csdn.net/m0_56192771/article/details/124113078 [4]https://www.wandouip.com/t5i87567/
[3]A survey on deep learning-based precise boundary recovery of semantic segmentation for images and point clouds [5]Deep multimodal fusion for semantic image segmentation: A survey [6]A survey of semi- and weakly supervised semantic segmentation of images ...
R-FCN全称为Region-based Fully Convolutional Networks,是由微软的何凯明团队在NIPS 2016上提出来的,仍然是双阶段的目标检检测算法。论文地址和官方开源代码见文后。 背景 R-FCN论文的发表时间比YOLO,SSD出来的都晚一些,并且这个算法更像是针对Faster-RCNN的一种改进,并且扔属于two-stage算法。那个R-FCN具体要解决...
So here comes one question: Can we find a universal strategy to further accelerate FCN with higher accuracy, so could accelerate all the recent FCN-based methods? To analyze this, we decompose the face searching space into two orthogonal directions, `scale' and `spatial'. Only a few ...
[3]A survey on deep learning-based precise boundary recovery of semantic segmentation for images and point clouds [4]Features to Text: A Comprehensive Survey of Deep Learning on Semantic Segmentation and Image Captioning [5]Deep multimodal fusion for semantic image segmentation: A ...